Advanced Bio-Feedback and Collaborative Techniques to Support Caregivers of Alzheimer Patients

Apostolidis, Ippokratis; Karakostas, Anastasios; Dimitriou, Tatiana; Tsiatsos, Τhrasyvoulos; Tsolaki, Magda

doi:10.1109/incos.2014.88

Cited by 5 publications

(1 citation statement)

References 20 publications

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“…Many studies reported positive outcomes in favor of the AI technology being studied (or to be developed) in terms of the technology’s feasibility (with acceptability used as the most common measure of feasibility) and satisfaction (positive perceptions of the technology). One of those studies reported a high dropout rate (65%) [ 22 ], making it difficult to interpret the study’s reported positive outcomes. One study reported preliminary evidence supporting limited efficacy of a social robot in reducing patients’ stress [ 29 ].…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review

Xie¹,

Tao²,

Li³

et al. 2020

JMIR Med Inform

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Background Artificial intelligence (AI) has great potential for improving the care of persons with Alzheimer’s disease and related dementias (ADRD) and the quality of life of their family caregivers. To date, however, systematic review of the literature on the impact of AI on ADRD management has been lacking. Objective This paper aims to (1) identify and examine literature on AI that provides information to facilitate ADRD management by caregivers of individuals diagnosed with ADRD and (2) identify gaps in the literature that suggest future directions for research. Methods Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for conducting systematic literature reviews, during August and September 2019, we performed 3 rounds of selection. First, we searched predetermined keywords in PubMed, Cumulative Index to Nursing and Allied Health Literature Plus with Full Text, PsycINFO, IEEE Xplore Digital Library, and the ACM Digital Library. This step generated 113 nonduplicate results. Next, we screened the titles and abstracts of the 113 papers according to inclusion and exclusion criteria, after which 52 papers were excluded and 61 remained. Finally, we screened the full text of the remaining papers to ensure that they met the inclusion or exclusion criteria; 31 papers were excluded, leaving a final sample of 30 papers for analysis. Results Of the 30 papers, 20 reported studies that focused on using AI to assist in activities of daily living. A limited number of specific daily activities were targeted. The studies’ aims suggested three major purposes: (1) to test the feasibility, usability, or perceptions of prototype AI technology; (2) to generate preliminary data on the technology’s performance (primarily accuracy in detecting target events, such as falls); and (3) to understand user needs and preferences for the design and functionality of to-be-developed technology. The majority of the studies were qualitative, with interviews, focus groups, and observation being their most common methods. Cross-sectional surveys were also common, but with small convenience samples. Sample sizes ranged from 6 to 106, with the vast majority on the low end. The majority of the studies were descriptive, exploratory, and lacking theoretical guidance. Many studies reported positive outcomes in favor of their AI technology’s feasibility and satisfaction; some studies reported mixed results on these measures. Performance of the technology varied widely across tasks. Conclusions These findings call for more systematic designs and evaluations of the feasibility and efficacy of AI-based interventions for caregivers of people with ADRD. These gaps in the research would be best addressed through interdisciplinary collaboration, incorporating complementary expertise from the health sciences and computer science/engineering–related fields.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review

Xie¹,

Tao²,

Li³

et al. 2020

JMIR Med Inform

View full text Add to dashboard Cite

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Work in Progress. SportSWARES, Towards an Intelligent Way of Physical Training

Tsiatsos

Apostolidis

Politopoulos

et al. 2020

Advances in Intelligent Systems and Computing

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Emotion Work in Caregiving: The Role of Technology to Support Informal Caregivers of Persons Living With Dementia

Smriti,

Wang,

Huh-Yoo

2024

Proc. ACM Hum.-Comput. Interact.

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The CSCW and HCI community has increasingly examined ways to support informal caregivers through technology, given the increasing burden and its consequences on caregivers' emotional and physical health. In this paper, we interviewed 12 informal caregivers of Persons Living With Dementia (PLWD) to understand their needs and current coping strategies for overcoming caregiving burden, specifically around emotion work. The caregivers associated different personal meanings with caregiving. Participants wanted technology to take over some of the utilitarian, mundane caregiving tasks. At the same time, they did not want technology to take over the tasks that fostered personal connections with PLWD. As the disease progressed, caregivers started to lose their perceived bond with PLWD, making it more challenging to juggle between rewarding, positive emotions with negative experiences. We discuss such complexity of emotion work using the notion of Invisible Work to understand when technology should or should not support the emotion work engaged in informal caregiving.

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Advanced Bio-Feedback and Collaborative Techniques to Support Caregivers of Alzheimer Patients

Cited by 5 publications

References 20 publications

Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review

Artificial Intelligence for Caregivers of Persons With Alzheimer’s Disease and Related Dementias: Systematic Literature Review

Work in Progress. SportSWARES, Towards an Intelligent Way of Physical Training

Emotion Work in Caregiving: The Role of Technology to Support Informal Caregivers of Persons Living With Dementia

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